Paddock, M., Akram, R., Jarvis, D.A. orcid.org/0000-0002-0133-1771 et al. (4 more authors) (2017) The assessment of fetal brain growth in diabetic pregnancy using in utero magnetic resonance imaging. Clinical Radiology, 72 (5). 427.e1-427.e8. ISSN 0009-9260
Abstract
AIM: To assess fetal brain growth over the third trimester in pregnant women with diabetes using in utero magnetic resonance imaging (iuMRI) to determine if greater brain growth occurs in type 1 (T1DM) when compared to gestational (GDM) diabetes mellitus. MATERIALS AND METHODS: Each consented participant was scanned at three fixed times during the third trimester using iuMRI. One hundred and fifty-seven patients were approached, 48 participants were recruited, and 36 complete data sets were analysed. Three-dimensional (3D) iuMRI volume data sets were manually segmented using software to construct models of the fetal brain from which brain volumes could be calculated. Inter-rater analysis was performed, and volume differences and growth rates were compared between T1DM and GDM. RESULTS: Recruitment proved difficult with low uptake and high attrition rates (77.1%). Inter-rater analysis revealed excellent correlation (intraclass correlation coefficient=0.93, p<0.001) and agreement with no significant difference between operators (p=0.194). There was no evidence of increased brain volume in the T1DM group. Growth rates between visit 1 and 3 for T1DM and GDM were not significantly different (p=0.095). CONCLUSION: T1DM brain volumes were not significantly larger than GDM volumes and there was no significant divergence of brain growth over the third trimester. Constructing volume models from 3D iuMRI acquisitions is a novel technique that can be used to assess fetal brain growth. No specialist software or knowledge is required. Larger studies attempting to recruit pregnant women in the later stages of pregnancy should employ multicentre recruitment to overcome recruitment difficulties and high attrition rates.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 The Royal College of Radiologists. This is an author produced version of a paper subsequently published in Clinical Radiology. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Sheffield Teaching Hospitals |
Funding Information: | Funder Grant number ROYAL COLLEGE OF RADIOLOGISTS UNSPECIFIED BRITISH SOCIETY OF NEURORADIOLOGISTS UNSPECIFIED |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 11 Feb 2019 14:33 |
Last Modified: | 15 Feb 2019 08:48 |
Published Version: | https://doi.org/10.1016/j.crad.2016.12.004 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.crad.2016.12.004 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:142284 |